Year: 2024
Type: conference-paper
Abstract: The tracking of sensor information has advanced significantly with the rise of the Internet ofThings (IoT) and cloud computing, replacing local storage and records. However, it faces challenges such as data leakage, compromised privacy, data tampering, and origin misrepresentation due to mutable data storage and central points of failure. Blockchain-based solutions have been proposed, but they often suffer from high costs, limited scalability, and vulnerability to data tampering in cloudbased processes. This paper introduces a novel approach using Extended Unspent Transaction Output (eUTXO) blockchains, which offer better scalability, lower transaction costs, higher throughput, enhanced privacy, along with a tamper-resistant log. Our framework overcomes limitations of traditional blockchain methods and central- ized cloud systems. By adopting this approach, IoT-based sensor tracking attains new levels of integrity and privacy. Comprehensive evaluations demonstrate the effectiveness and practicality of our system. The proposed framework addresses sensor tracking challenges and advances hardware-backed IoT solutions asthe next logical step.
Authors: Abhra Adhikari, Muthuraj Ramu, Robin Thomas, Hongxu Su, Bharath Ramesh
Institutions: National University of Singapore, Western Sydney University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4401765887